System and method for carrier and / or cell switch off / on optimization based on an A1 policy in a telecommunications network

The system optimizes O-RAN network energy efficiency by using AI/ML models to flexibly manage carrier and cell switch off/on based on A1 policies, addressing the trade-off between system performance and energy conservation.

US12652615B2Active Publication Date: 2026-06-09RAKUTEN MOBILE INC
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Patents(United States)
Current Assignee / Owner
RAKUTEN MOBILE INC
Filing Date
2023-04-04
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In O-RAN networks, there is a trade-off between system performance and energy conservation when switching off carriers or cells, leading to inferior overall network energy efficiency and consumption due to local energy-saving optimizations.

Method used

Implementing a system that allows flexible configuration of carrier and cell switch off/on parameters based on A1 policies using AI/ML models trained in the SMO and executed by the nRT-RIC, optimizing energy efficiency management through data collection, model re-training, and policy execution.

Benefits of technology

Enhances overall network energy efficiency by dynamically managing carrier and cell switch off/on operations, balancing system performance and energy consumption effectively.

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Abstract

A method for implementing a carrier and / or cell switch off / on optimization in an O-RAN based on an A1 policy, the method includes: deploying, by the NRT-RIC framework, a AI / ML model to the nRT-RIC; providing, by the rApp, an A1 policy to prepare and execute the cell and / or carrier switch off / on optimization through the NRT-RIC framework to the nRT-RIC; collecting, by the nRT-RIC, data to perform the cell and / or carrier switch off / on via the E2-interface from the O-RU via the E2 node; evaluating, by nRT-RIC, the collected data; generating, by the nRT-RIC, an E2 message and send, by the nRT-RIC, the E2 message to the O-RU via the E2 node; implementing, by the E2 node and the O-RU, the cell and / or carrier switch off / on optimization within the O-RAN; receiving, by the rApp, an A1 policy feedback through an NRT-RIC framework from the O-RU via the E2 node and the nRT-RIC.
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Citation Information

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